A Power Forecasting Method of Wave Power Generation in Little Wind Water Areas

According to collected data and research findings, wave is mainly effected by wind in the South China Sea offshore. The authors analyzed the wave force and wave energy of a certain power generation sector float, then established the equation between the wave height, wave period and wave energy. It is proved that the forecast of wave energy can be reduced to wave height estimate. The wave height prediction forecasting model integrates phase space reconstruction (PSRT) and chaotic neural network (NN) algorithm, which was simulated by the data acquired near a South China Sea Island. It shows that, the PSRT and chaotic NN fusion algorithm have a better capacity to fit historical data of wave height. The program is suitable for forecasting the input energy of wave power generation system.